Prevalence and determinants of obesity in the adult population of Kanpur district -- a population-based study.
Department of Community Medicine, GSVM Medical College, Kanpur.Journal of the Indian Medical Association 08/2011; 109(8):538-42.
Worldwide, obesity is the most prevalent form of malnutrition. It is one of the most significant contributors to ill health and an indirect cause of morbidity and mortality resulting from hyperlipidaemia and glucose intolerance. Very few studies on the prevalence of obesity have been reported from developing countries like India. The present study was therefore undertaken to determine the prevalence of obesity and its predictors in the Indian community. The objectives are: (1) To determine the prevalence of obesity, (2) to study the relationship of obesity with age, (3) to identify the predictors of obesity. This community-based cross-sectional study was conducted on 801 subjects, aged 20 years and above in Kanpur District, using multistage stratified random sampling technique. Data was analysed using the software statistical package for social sciences 10.0.1 for windows. Prevalence of obesity was found to be 4.7%. An increase in body mass index was seen with increasing age. A higher prevalence of obesity was seen in the urban population and in women. Age, gender and daily intake of saturated fatty acids were found to be the main predictors of the obesity. An increase in the level of physical activity resulted in a decrease in the prevalence of obesity (odd's ratio = 0.36). Obesity is an emerging public health problem in the Indian population which indicates that intervention at the primary healthcare level, especially in diet and activity, are important for its prevention.
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ABSTRACT: Background: Several studies have found that body adiposity index (BAI) is a better index of body adiposity than body mass index (BMI) in African and Mexican American adults. This study aims to evaluate the ability of BAI to predict body adiposity in Chinese children and adults. Materials and Methods: In total, 2425 children and 5726 adults were recruited from rural China. All participants completed whole-body dual-energy X-ray absorptiometry (DXA) and anthropometric measures. The correlation of BMI, BAI, and waist circumference (WC) to DXA adiposity indexes was performed across sex-specific adult and age- and sex-specific child cohorts, using Spearman correlation and linear regression models, respectively. Results: Both BMI and WC had a higher correlation with all adiposity indexes (whole body fat, percent body fat [Bfat%], trunk fat, and percent trunk fat [Tfat%]) measured by DXA than did BAI in both adults and children. Meanwhile, most of the linear regression model associations for BMI with Bfat% and Tfat% had a greater adjusted R(2) than those for BAI among both children and adults. Conclusion: This study indicates that BMI and WC are better tools than BAI for estimating whole body fat and central body fat in a Chinese population. © 2015 American Society for Parenteral and Enteral Nutrition.Nutrition in Clinical Practice 01/2015; 30(2). DOI:10.1177/0884533614564468 · 2.40 Impact Factor
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ABSTRACT: Open Access Diabetes & Metabolism Chukwuonye et al., J Diabetes Metab 2015, 6:7 http://dx.doi.org/10.4172/2155-6156.1000570 Volume 6 • Issue 7 • 1000570 J Diabetes Metab ISSN: 2155-6156 JDM, an open access journal Research Article Abstract Background and objectives: Obesity is assuming an epidemic dimension globally. Currently more than 1.9 billion adults are overweight - and at least 600 million of them are obese. There is dearth of community based study on prevalence and predictors of obesity in Nigeria, and none from Abia state in particular, prompting us to undertake the study. Material and Methods: This was a cross-sectional study, aimed at ascertaining the prevalence and predictors of obesity in the state. The study subjects were recruited from the three senatorial zones in the state. In each of the zones, an urban and a rural community were randomly selected. The World Health Organization Stepwise Approach to Surveillance of chronic disease risk factors was used. Body mass index, anthropometric measurements, and other relevant data were also collected. Results: Overweight was present in 716 (28.2%) and obesity was present in 313 (12.3%) of the subjects. Ninety five (30.4%) of the obese subjects were men, while 281(69.7%) were women. One hundred and eighty (57.5%) of the obese subjects were urban dwellers, while 133 (42.4%) were rural dwellers. The women and urban dwellers were significantly more obese than men and rural dwellers respectively (p<0.001). Using multiple logistic regression analysis two variables predicted obesity in the study population. These were gender (OR=2.83, 95%CI 2.150-3.717, P=<0.001), and locality (OR=1.40, 95%CI 1.154-1.979, P=0.027). Conclusion: The prevalence of obesity in the state is significantly high and gender and locality are predictors of obesity in southeast Nigeria.Journal of Diabetes & Metabolism 07/2015; 6(7). DOI:10.4172/2155-6156.1000570
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